replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

// permanently. The only way to restore the connection is at the xl-sets layer by xlsets.monitorAndConnectEndpoints()
// after verifying format.json
func (client *peerRESTClient) callWithContext(ctx context.Context, method string, values url.Values, body io.Reader, length int64) (respBody io.ReadCloser, err error) {
	if client == nil {
		return nil, errPeerNotReachable

			destBucket:            "destinationbucket",
			sameTarget:            false,
			expectedParsingErr:    nil,
			expectedValidationErr: nil,
		},
		// 4 missing role in config and destination ARN is in legacy format
		{

To set the output format, set the request `Content-Type` to the desired format. Accepted values are `application/json` for JSON output or `text/plain` for a Markdown-formatted table. The default is Markdown.

For example, the the following returns a list of all available bucket metrics:

  // error is to record the problem with the service port
  // The format of the error shall comply with the following rules:
  // - built-in error values shall be specified in this file and those shall use
  //   CamelCase names
  // - cloud provider specific error values must have names that comply with the
  //   format foo.example.com/CamelCase.
  // ---

## Modelos de Pydantic

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> es una library de Python para llevar a cabo validación de datos.

Tú declaras la "forma" de los datos mediante clases con atributos.

Cada atributo tiene un tipo.

La definición del schema incluye los paths de tu API, los parámetros que podría recibir, etc.

#### "Schema" de datos

El concepto "schema" también se puede referir a la forma de algunos datos, como un contenido en formato JSON.

En ese caso haría referencia a los atributos del JSON, los tipos de datos que tiene, etc.

#### OpenAPI y JSON Schema

<img src="/img/tutorial/security/image03.png">

Não estamos verificando a validade do token ainda, mas isso já é um começo

## Recapitulando

import static com.google.common.base.Preconditions.checkNotNull;

import com.google.common.annotations.GwtCompatible;
import javax.annotation.CheckForNull;

/**
 * An {@link Escaper} that converts literal text into a format safe for inclusion in a particular
 * context (such as an XML document). Typically (but not always), the inverse process of
 * "unescaping" the text is performed automatically by the relevant parser.
 *